Le pubblicazioni dei componenti del gruppo di ricerca.
2013
Annalisa Dalmoro; Matteo D'Amore; Anna Angela Barba
Droplet size prediction in the production of drug delivery microsystems by ultrasonic atomization. Journal Article
In: Translational medicine @ UniSa, vol. 7, no 2, pp. 6–11, 2013, ISSN: 2239-9747.
Abstract | Links | BibTeX | Tags: dimensionless, Micro and Nano Vectors, microparticles size prediction, numbers in atomization, ultrasonic atomization
@article{Dalmoro2013,
title = {Droplet size prediction in the production of drug delivery microsystems by ultrasonic atomization.},
author = { Annalisa Dalmoro and Matteo D'Amore and Anna Angela Barba},
url = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3829785\&tool=pmcentrez\&rendertype=abstract},
issn = {2239-9747},
year = {2013},
date = {2013-01-01},
journal = {Translational medicine @ UniSa},
volume = {7},
number = {2},
pages = {6--11},
publisher = {Universit},
abstract = {Microencapsulation processes of drugs or other functional molecules are of great interest in pharmaceutical production fields. Ultrasonic assisted atomization is a new technique to produce microencapsulated systems by mechanical approach. It seems to offer several advantages (low level of mechanical stress in materials, reduced energy request, reduced apparatuses size) with respect to more conventional techniques. In this paper the groundwork of atomization is briefly introduced and correlations to predict droplet size starting from process parameters and material properties are presented.},
keywords = {dimensionless, Micro and Nano Vectors, microparticles size prediction, numbers in atomization, ultrasonic atomization},
pubstate = {published},
tppubtype = {article}
}
Microencapsulation processes of drugs or other functional molecules are of great interest in pharmaceutical production fields. Ultrasonic assisted atomization is a new technique to produce microencapsulated systems by mechanical approach. It seems to offer several advantages (low level of mechanical stress in materials, reduced energy request, reduced apparatuses size) with respect to more conventional techniques. In this paper the groundwork of atomization is briefly introduced and correlations to predict droplet size starting from process parameters and material properties are presented.